โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GLM 4.7 Flash vs MiniMax-01

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 4.7 Flash and MiniMax-01.

Zhipu AI

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

View Full Specs
MiniMax

MiniMax-01

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...

View Full Specs

Technical Specifications

SpecificationGLM 4.7 FlashMiniMax-01
ProviderZhipu AIMiniMax
Context Window202,752 tokens1,000,192 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-01-192025-01-15

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7 Flash

$0.06

MiniMax-01

$0.20

Output Price per Million Tokens

GLM 4.7 Flash

$0.40

MiniMax-01

$1.10

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7720.0%vs8100.0%
GLM 4.7 Flash
MiniMax-01
HumanEvalPython coding & logic synthesis
7850.0%vs7820.0%
GLM 4.7 Flash
MiniMax-01
MATHComplex mathematical problem solving
4000.0%vs5050.0%
GLM 4.7 Flash
MiniMax-01
GPQAGraduate-level expert reasoning
3100.0%vs3700.0%
GLM 4.7 Flash
MiniMax-01
HellaSwagCommonsense reasoning and inference
8000.0%vs8300.0%
GLM 4.7 Flash
MiniMax-01
MT-BenchMulti-turn conversation flow quality
810.0%vs855.0%
GLM 4.7 Flash
MiniMax-01

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

MiniMax-01 Quirks & Gotchas

No developer gotchas reported.